Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Yongmei Lei"'
Publikováno v:
Data Science and Engineering, Vol 8, Iss 1, Pp 61-72 (2023)
Abstract Large-scale distributed training mainly consists of sub-model parallel training and parameter synchronization. With the expansion of training workers, the efficiency of parameter synchronization will be affected. To tackle this problem, we f
Externí odkaz:
https://doaj.org/article/326f786c96534dbf82faf8489cae1202
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2018, Iss 1, Pp 1-10 (2018)
Abstract With the development of information technology, image information has become the main content of network information transmission. With the development of image encryption technology, it is also about the development of image information the
Externí odkaz:
https://doaj.org/article/3458e1fdabc54bcdb9871a7fe3fabe23
Autor:
Hong Zhang, Yongmei Lei
Publikováno v:
International Journal of Networked and Distributed Computing (IJNDC), Vol 1, Iss 3 (2013)
In this paper, we investigate the distributed parallel Support Vector Machine training strategy, and then propose a BSP-Based Support Vector Regression Machine Parallel Framework which can implement the most of distributed Support Vector Regression M
Externí odkaz:
https://doaj.org/article/7e6d38b84c7d49c5a3e86508babc3c19
Publikováno v:
2022 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca34fd8059ce077953ad2322ec7bfd86
https://doi.org/10.1109/ispa-bdcloud-socialcom-sustaincom57177.2022.00098
https://doi.org/10.1109/ispa-bdcloud-socialcom-sustaincom57177.2022.00098
Publikováno v:
Computing. 103:2737-2762
The distributed alternating direction method of multipliers (ADMM) is one of the most widely used algorithms to solve large-scale optimization problems. Since the memory consumption, communication cost and convergence of the distributed ADMM are affe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac023353674ce1291264b4354bd88a39
https://doi.org/10.1007/s00607-021-00968-0
https://doi.org/10.1007/s00607-021-00968-0
Publikováno v:
The Journal of Supercomputing. 77:8111-8134
The distributed alternating direction method of multipliers (ADMM) is an effective algorithm for solving large-scale optimization problems. However, its high communication cost limits its scalability. An asynchronous lazy ADMM algorithm based on hier
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c6398c3d16a764c8936a772a703e4c2
https://doi.org/10.1007/s11227-020-03590-7
https://doi.org/10.1007/s11227-020-03590-7
Publikováno v:
IEEE Sensors Journal. 20:11802-11811
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef57129c44d2894c3e9e32d0ac050717
https://doi.org/10.1109/jsen.2019.2942617
https://doi.org/10.1109/jsen.2019.2942617
Classification of Medical Text Data Using Convolutional Neural Network-Support Vector Machine Method
Publikováno v:
Journal of Medical Imaging and Health Informatics. 10:1746-1753
Conventional methods of medical text data classification, neglect of context among different words and semantic information, has a poor text description, classification effect and generalization capability and robustness. To tackle the inefficiencies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2a87449637eea93726ef22d9c28890a
https://doi.org/10.1166/jmihi.2020.3042
https://doi.org/10.1166/jmihi.2020.3042
Publikováno v:
2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9689306b710a509481d47455551322b
https://doi.org/10.1109/ispa-bdcloud-socialcom-sustaincom52081.2021.00041
https://doi.org/10.1109/ispa-bdcloud-socialcom-sustaincom52081.2021.00041
Publikováno v:
2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13ca43008b5d816390f538cff499835e
https://doi.org/10.1109/ispa-bdcloud-socialcom-sustaincom52081.2021.00083
https://doi.org/10.1109/ispa-bdcloud-socialcom-sustaincom52081.2021.00083